In February we released an update to Opsy Platform focused on platform speed and AI deploy UX. Below is what changed and what to expect in upcoming releases.
Platform Performance
API requests — task list, limits, GitLab settings, prompt templates and other data — are now processed in parallel without blocking the UI. Previously, opening the deploy page meant watching a “cascade” of loads: projects first, then branches, then config. Now data loads in parallel, cutting time to full page readiness. This is especially noticeable on slow connections or with many GitLab projects.
AI Assistant and Templates
Request template loading for the AI assistant in the deploy section has been improved. Templates (“deploy with 3 replicas”, “add health check”, etc.) now load faster and don’t block the UI. Organizations can still add custom templates in settings — useful for standardizing commands across the team.
Further Plans
In upcoming releases we plan to: extend resource (CPU/RAM) recommendations based on usage patterns; improve metrics display and deploy history for better visibility; refine integration with selected projects and branches. User feedback is welcome — reach out via support or leave comments.
Details and update instructions are in the docs and in the Platform dashboard. If you haven’t tried Opsy yet — start with the product page.